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Segmentation

Papers

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Showing 10001–10025 of 13072 papers

TitleStatusHype
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance—0
Uncertainty Reduction for Model Adaptation in Semantic Segmentation—0
Unconditional Synthesis of Complex Scenes Using a Semantic Bottleneck—0
Unconstrained Iris Segmentation using Convolutional Neural Networks—0
Understanding Deep Learning Techniques for Image Segmentation—0
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space—0
Understanding Imbalanced Semantic Segmentation Through Neural Collapse—0
Understanding Multi-Task Activities from Single-Task Videos—0
Understanding Neural Pathways in Zebrafish through Deep Learning and High Resolution Electron Microscope Data—0
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation—0
Understanding the Impact of Evaluation Metrics in Kinetic Models for Consensus-based Segmentation—0
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation—0
Understanding Video Transformers for Segmentation: A Survey of Application and Interpretability—0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation—0
U-Net and its variants for medical image segmentation: theory and applications—0
U-Net and its variants for Medical Image Segmentation : A short review—0
UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation—0
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images—0
U-Net Based Multi-instance Video Object Segmentation—0
U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery—0
U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities—0
U-Netmer: U-Net meets Transformer for medical image segmentation—0
U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation—0
U-net super-neural segmentation and similarity calculation to realize vegetation change assessment in satellite imagery—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified